About this trial
This pilot study aims to evaluate whether personalized coaching prompts generated by a large language model (LLM) can effectively increase physical activity levels among participants. The study will involve 50 participants who will receive daily text messages, either personalized by the LLM or generic, over a 14-day period. Participants will share their HealthKit data for analysis. The findings will inform the development of future versions of the My Heart Counts application, enhancing user engagement and health outcomes.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Age: Participants must be 18 years or older.
Health Status: Participants must be healthy enough to engage in physical activity.
Language Proficiency: Participants must be able to read, understand, and consent in English or Spanish (dependent on which is being studied).
Device Ownership: Participants must possess an iPhone and an Apple Watch.
Disqualifiers
Age: Participants under the age of 18.
Health Status: Participants who are not healthy enough to engage in physical activity.
Language Proficiency: Participants who cannot read, understand, or consent in English or Spanish.
Device Ownership: Participants who do not have both an iPhone and an Apple Watch.
Trial design
Crossover
Treatments tested in this trial
Pre-Generated Personalized LLM Coaching Impact
BehavioralAfter the initial 7 days, participants will switch to the other type of prompting for another 7 days. This means that participants who initially received personalized LLM-generated prompts will then receive generic activity prompts, and vice versa. This crossover design allows for each participant to experience both types of interventions, providing a within-subject comparison of the effectiveness of personalized versus generic prompts in increasing physical activity levels.
Treatment groups
Trial outcomes
Primary outcomes
Physical Activity Levels
Locations
Sponsors and contacts
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This trial is not recruiting at the moment. You can still explore other options: